Performance prediction and evaluation of parallel applications in KVM, Xen, and VMware

Cheol Ho Hong, Beom Joon Kim, Young Pil Kim, Hyunchan Park, Hyuck Yoo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Cloud computing platforms are considerably attractive for parallel applications that perform large-scale, computationally intensive tasks. These platforms can provide elastic computing resources to the parallel software owing to system virtualization technology. Almost every cloud service provider operates on a pay-per-use basis, and therefore, it is important to estimate the performance of parallel applications before deploying them. However, a comprehensive study that can predict the performance of parallel applications remains unexplored and is still a research topic. In this paper, we provide a theoretical performance model that can predict the performance of parallel applications in different virtual machine scheduling policies and evaluate the model in representative hypervisors including KVM, Xen, and VMware. Through this analysis and evaluation, we show that our performance prediction model is accurate and reliable.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    PublisherSpringer Verlag
    Pages99-110
    Number of pages12
    Volume8632 LNCS
    ISBN (Print)9783319098722
    DOIs
    Publication statusPublished - 2014
    Event20th International Conference on Parallel Processing, Euro-Par 2014 - Porto, Portugal
    Duration: 2014 Aug 252014 Aug 29

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8632 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other20th International Conference on Parallel Processing, Euro-Par 2014
    Country/TerritoryPortugal
    CityPorto
    Period14/8/2514/8/29

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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